The benefits of leveraging cloud platforms to enable business agility and scale are clear and has driven explosive growth in migrations to cloud platforms. Data & analytics solutions are no exception and most organizations are either planning or have already started to incorporate cloud platforms and tools into their data & analytics architecture.
From designing an Azure cloud strategy and architecture, to execution of cloud migrations, Smartbridge has helped several organizations large and small leverage the cloud to drive successful data & analytics programs.
As part of a larger strategic menu redesign project, our client was looking for a vendor to assist with an Azure migration as well as a modernization of their data warehouse and reporting solution which was primarily SSIS and SSRS.
If you are working in ADF, it stands to reason that you are probably building a Modern Data Architecture solution in the Azure cloud. Therefore, your solution should consist of at least 3 separate components/layers.
In this article, we’ll compare two of the best data warehousing and analytics tools available, Microsoft Azure Synapse and Snowflake, to help you better decide which is the best fit for your organization.
As part of an enterprise data strategy program, the client was looking to standup Azure cloud infrastructure and migrate many new and existing datasets to an Azure data lake and Snowflake Cloud Data Warehouse to support its analytics team.
Establish a truly effective analytics organization with your own custom, balanced approach.